The Implementation of Speech Recognition using Mel-Frequency Cepstrum Coefficients (MFCC) and Support Vector Machine (SVM) method based on Python to Control Robot Arm

2nd Annual Applied Science and Engineering Conference

工业技术;自然科学

Anggraeni, D.^1,2 ; Sanjaya, W.S.M.^1,2 ; Nurasyidiek, M.Y.S.^1,2 ; Munawwaroh, M.^1,2

Department of Physics, Faculty of Science and Technology, Universitas Islam Negeri Sunan Gunung Djati Bandung, Indonesia^1

Bolabot Techno Robotic Institute, CV. Sanjaya Star Group, Bandung, Indonesia^2

关键词: Arduino;    Control robots;    Mel frequency cepstrum coefficients;    Pick and place;    Robot arms;    Speech recognition systems;    Speech signals;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/288/1/012042/pdf
DOI  :  10.1088/1757-899X/288/1/012042

来源: IOP

【 摘 要 】

In this paper describe an implementation of speech recognition to pick and place an object using Robot Arm. To get the feature extraction of speech signal used Mel-Frequency Cepstrum Coefficients (MFCC) method and to learn the database of speech recognition used Support Vector Machine (SVM) method, the algorithm based on Python 2.7. The data learning which used to SVM process are 12 features, then the system tested using trained and not trained data show the best agreement to identifying the speech recognition. The speech recognition system has been implemented for control the 5 DoF Robot Arm based Arduino microcontroller to doing task pick and place the object.